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Physical forces between humans and how humans attract and repel each other based on their social interactions in an online world

机译:人与人之间的物理力量,以及基于在线世界中人们的社交互动,人们如何相互吸引和排斥

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摘要

Physical interactions between particles are the result of the exchange of gauge bosons. Human interactions are mediated by the exchange of messages, goods, money, promises, hostilities, etc. While in the physical world interactions and their associatd forces have immediate dynamical consequences (Newton's laws) the situation is not clear for human interactions. Here we quatify the relative acceleration between humans who interact through the exchange of messages, goods and hostilities in a massive multiplayer online game. For this game we have complete information about all interactions (exchange events) between about 430,000 players, and about their trajectories (movements) in the metric space of the game universe at any point in time. We use this information to derive "interaction potentials" for communication, trade and attacks and show that they are harmonic in nature. Individuals who exchange messages and trade goods generally attract each other and start to separate immediately after exchange events end. The form of the interaction potential for attacks mirrors the usual "hit-and-run" tactics of aggressive players. By measuring interaction intensities as a function of distance, velocity and acceleration, we show that "forces" between players are directly related to the number of exchange events. We find an approximate power-law decay of the likelihood potentials can be understood with a simple model assuming an exchange-driven force in combination with a distance-dependent exchange rate.
机译:粒子之间的物理相互作用是规范玻色子交换的结果。人际互动是通过交换信息,商品,金钱,诺言,敌对行动等来实现的。虽然在物理世界中,人际互动及其联系力量会立即产生动态后果(牛顿定律),但人际互动的情况尚不明确。在这里,我们将大型多人在线游戏中通过交换消息,商品和敌对进行互动的人类之间的相对加速度定为夸大。对于此游戏,我们拥有有关大约430,000个玩家之间的所有交互(交换事件)以及它们在任何时间点在游戏宇宙度量空间中的轨迹(运动)的完整信息。我们使用这些信息来推导交流,贸易和攻击的“互动潜力”,并证明它们本质上是谐波。交换消息和贸易商品的个人通常会相互吸引,并在交换事件结束后立即开始分离。攻击的潜在交互作用形式反映了攻击性玩家通常的“命中即跑”策略。通过测量作为距离,速度和加速度的函数的交互强度,我们显示出玩家之间的“力”与交换事件的数量直接相关。我们发现,假设交换驱动力与距离相关的汇率相结合,可以通过简单模型来理解似然势的近似幂律衰减。

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  • 作者

    Thurner, S.; Fuchs, B.;

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  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 en
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